Similar to the concepts covered in Chapter 4 with respect to the multi-layer perceptron problem, convolutional neural networks (CNNs) also feature multiple layers used to calculate the output given a data set. This model’s development can be traced back to the 1950s, where researchers Hubel and Wiesel modeled the animal visual cortex. At length in a 1968 paper, they discussed their findings, which identified both simple cells and complex cells within the brains of the monkeys and cats they studied. The simple cells , they observed, ...
© Taweh Beysolow II 2017
Taweh Beysolow II, Introduction to Deep Learning Using R, https://doi.org/10.1007/978-1-4842-2734-3_5
5. Convolutional Neural Networks (CNNs)
Taweh Beysolow II1
(1)San Francisco, California, USA
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